{"id":"W4230676367","doi":"10.7551/mitpress/13986.001.0001","title":"Make Shift","year":2021,"lang":"en","type":"book","venue":"The MIT Press eBooks","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ingenuity; Vision; Adventure; Art history; Sociology; Art; Media studies; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005974569,0.000383188,0.0007525261,0.0001310401,0.0001334653,0.0001925971,0.0009180884,0.0004443053,0.0004536139],"category_scores_gemma":[0.00016571,0.0003629961,0.0003251418,0.0000169582,0.0001546873,0.00003612379,0.0004451721,0.0007529903,0.0006882002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193061,"about_ca_system_score_gemma":0.0002498338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00044268,"about_ca_topic_score_gemma":0.00009303802,"domain_scores_codex":[0.9980997,0.00003266958,0.0006961636,0.0006167493,0.00008045608,0.0004742356],"domain_scores_gemma":[0.9975732,0.0002839296,0.0005652655,0.001435428,0.00002720356,0.0001149773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002205434,0.00002066203,0.00005176934,0.0002465617,0.0004495899,0.00005472378,0.00223128,0.00002384874,0.000002731534,0.8573171,0.1348046,0.0047751],"study_design_scores_gemma":[0.0002731011,0.00001664323,0.00009742489,0.00009279085,0.00004189117,0.000006872571,0.000003047217,0.000039634,0.00003360718,0.1037086,0.8953002,0.0003861686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006720099,0.01243967,0.0003116338,0.0003234891,0.0009178926,0.0004369274,0.0004356717,0.00009025214,0.9849772],"genre_scores_gemma":[0.003341353,0.0001736649,0.0000395364,0.002218783,0.0007615229,0.00005179255,0.00005374826,0.0001124601,0.9932472],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7604956,"threshold_uncertainty_score":0.9998822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07817013703562989,"score_gpt":0.2529255763041979,"score_spread":0.174755439268568,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}